You're reading from Codeless Deep Learning with KNIME

Product typeBook

Published inNov 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781800566613

Edition1st Edition

Languages

Python

Tools

Knime

Concepts

Deep Learning

Authors (3):

Kathrin Melcher

KNIME AG

Rosaria Silipo

View More author details

Exploring KNIME Analytics Platform

To install KNIME Analytics Platform, follow these steps:

Go to .
Provide some details about yourself (step 1 in Figure 1.2).
Download the version that's suitable for your operating system (step 2 in Figure 1.2).
While you're waiting for the appropriate version to download, browse through the different steps to get started (step 3 in Figure 1.2):

Figure 1.2 – Steps for downloading the KNIME Analytics Platform package

Once you've downloaded the package, locate it, start it, and follow the instructions that appear onscreen to install it in any directory that you have write permissions for.

Once it's been installed, locate your instance of KNIME Analytics Platform – from the appropriate folder, desktop link, application, or link in the start menu – and start it.

When the splash screen appears, a window will ask for the location of your workspace (Figure...

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Codeless Deep Learning with KNIME

Published in: Nov 2020Publisher: PacktISBN-13: 9781800566613

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Authors (3)

Kathrin Melcher

Kathrin Melcher is a data scientist at KNIME. She holds a master's degree in mathematics from the University of Konstanz, Germany. She joined the evangelism team at KNIME in 2017 and has a strong interest in data science and machine learning algorithms. She enjoys teaching and sharing her data science knowledge with the community, for example, in the book From Excel to KNIME, as well as on various blog posts and at training courses, workshops, and conference presentations.
Read more about Kathrin Melcher

KNIME AG

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